Controllable music : supervised learning of disentangled representations for music generation
Controllability, despite being a much-desired property of a generative model, remains an ill-defined concept that is difficult to measure. In the context of neural music generation, a controllable system often implies an intuitive interaction between human agents and the neural model, allowing the r...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2021
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Online Access: | https://hdl.handle.net/10356/153200 |